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LLama-translation
datha29/LLama-translation
LLama-translation is a machine learning model from datha29. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
All-time downloads
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Repo size
101 MB
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Repo makeup
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Apr 12, 2024
- Updated
- Apr 12, 2024
- SHA
- 6b99c3d3
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
LLama-translation
This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3955
- eval_runtime: 179.6096
- eval_samples_per_second: 9.565
- eval_steps_per_second: 1.197
- epoch: 2.0
- step: 774
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 40
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1285
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- llama2
- Created
- Apr 12, 2024
- Updated
- Apr 12, 2024